A queueing framework segments vulnerability data with Gaussian mixture models, fits arrival/service/resource parameters by KL-divergence minimization, and reports 91-96% accuracy in estimating organizational cyber resources from timestamps.
Toward scalable graph-based security analysis for cloud networks,
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Organizational Security Resource Estimation via Vulnerability Queueing
A queueing framework segments vulnerability data with Gaussian mixture models, fits arrival/service/resource parameters by KL-divergence minimization, and reports 91-96% accuracy in estimating organizational cyber resources from timestamps.